Unsupervised Feature Learning and Deep Learning (Ng, 2011)

Bay Area Vision Meeting Unsupervised Feature Learning and Deep Learning Presented by Andrew Ng March 7, 2011 Despite machine learning’s numerous successes, applying machine learning to a new problem usually means spending a long time hand-designing the input representation for that specific problem. This is true for applications in vision, audio, text/NLP, and other problems. To address this, researchers have recently developed “unsupervised feature learning“ and “deep learning“